How Does the Index of Passenger Load and Goods Load Impact on Air Transportation Logistics Performance: The Case of Vietnam

Abstract

The paper assesses the Air Transportation Logistics Performance (ATLP), the approach of using Logistics-multivariate linear regression (LMLR), focusing on analysing and justifying two factors which are passenger load index (PLI) and goods load index (GLI). There are eight predictor or independent variables (P/IV) call X, namely PLI and GLI each has four P/IVs that are X₁ to X₄, and X₅ to X₈, respectively. The highlight findings are LMLR models 1 and 2 have Adjusted R Squares are 91% and 92 %, Significance F_(W) is 1.22E-08, Significance F _(M) is 3.31E-06, respectively. CPI₁|X₁ = 0.9157 and CPI₂|X₂ = 0.7992 impact but CPI₃|X₃ = -0.0209 does not impact on revenue from express service supply of postal companies. CPI₅|X₅ = 26.31734, CPI₆|X₆ = 77.5067, and CPI₈|X₈ = 14.0566 impact but CPI₇|X₇ is -7.4992 does not impact on revenue from passenger transportation service supply of travel and tourist companies. Model LMLR can apply for not only Air Transportation Logistics (ATL) but also can apply to assess other scopes which has similar characteristics and similar operations method to ATL.